{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matploblib绘图工具"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(1, 2, 'jiaodian')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x=np.linspace(0,2,200)\n",
    "y = np.sin(x)\n",
    "\n",
    "figure = plt.figure()\n",
    "axes = figure.subplots()\n",
    "axes.set_title(\"sample title\")\n",
    "axes.set_xlabel(\"x axis label\")\n",
    "axes.set_ylabel(\"y axis label\")\n",
    "axes.grid()   # 设置网格\n",
    "\n",
    "# plt.plot(x,x)\n",
    "axes.plot(x,x,label=\"line\")\n",
    "axes.plot(x,x**2,label=\"square\")\n",
    "axes.plot(x,x**3,label=\"square\")\n",
    "axes.legend()\n",
    "\n",
    "axes.annotate(\"jiaodian\",[1,1],[1,2])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x27c8195f438>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.arange(0, 5, 0.1)\n",
    "y = np.sin(x)\n",
    "plt.grid()\n",
    "plt.plot(x, y)"
   ]
  }
 ],
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